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ICIP
2001
IEEE
14 years 6 months ago
Wavelet shrinkage with correlated wavelet coefficients
This paper investigates the statistical characterizationof multiscale wavelet coefficients corresponding to random signals and images. Virtually all approaches to wavelet shrinkag...
Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
JEI
2008
100views more  JEI 2008»
13 years 5 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
IJCV
2000
110views more  IJCV 2000»
13 years 5 months ago
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...
Javier Portilla, Eero P. Simoncelli
ICIP
2007
IEEE
14 years 7 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
JMLR
2010
147views more  JMLR 2010»
13 years 2 days ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...